Practical scenarios and operation guide for batch extraction of mobile phone number usernames

In cross-border private domains and social operations, teams often hold a large number of mobile phone resources, but if they cannot quickly extract the corresponding ones username, it is difficult to achieve accurate reach and subsequent refined operations. Especially at the data scale of tens of thousands or even millions, manual processing is almost impossible to complete, and specialized tools and methods must be used. This article will share with real business needs Batch extraction of mobile phone number username Common scenarios and complete operational processes, and introduce Digital Planet Advantages in this link.

Why do you need to batch extract mobile phone number username

1. Build a complete user portrait

The mobile phone number is the entrance, but the user name is the core identity of the user in the platform. After extraction, it can better combine with labels such as interest, activity, and region to form a more accurate user portrait.

2. Improve operational efficiency

Batch extraction can avoid inefficiency in querying one by one, allowing the team to focus their time on community operations and conversion.

3. Cross-platform docking

Many times, users have the same mobile phone number but different user names, and cross-platform clue matching can be quickly completed through batch extraction.

4. Reduce access waste

When there is only a mobile phone number without a username, repeated or incorrect access may occur, and batch extraction can reduce this waste.

Typical scenarios for batch extraction of mobile phone number usernames

Cross-border e-commerce marketing

Mobile phone numbers collected during the event need to be imported after batch extraction of usernamesOnly by CRM can we achieve accurate push and group operation.

Community sedimentation management

The mobile phone numbers accumulated through scanning codes and activities must be quickly extracted to import group chats and group groups.

Advertising verification

Bulk import of mobile phone numbers collected by advertising, detect and extract user names, filter out real and active users, and avoid wasting advertising costs.

Cross-platform resource integration

existMobile phone numbers collected by different platforms such as WhatsApp, LINE, Telegram, etc. can be integrated with one click after batch extraction of user names.

Operation Guide: How to batch extract mobile phone number username

Step 1: Number preparation

Organize the collected mobile phone number resources into standard formats (such asCSV/TXT files) are convenient for unified import.

Step 2: Batch import

Upload the number library to Digital Planet Platform, supports the rapid processing of million-level numbers.

Step 3: Automatically extract username

The digital planet will automatically match the corresponding username and mark the invalid number and duplicate number.

Step 4: Results Annotation and Classification

The extracted results will automatically have multi-dimensional labels such as activity, region, and gender, so that the team can use them directly in groups.

Step 5: Export and Application

Export and extract results in one click, supportCSV/TXT and other formats are directly connected to mass sending tools or CRM to achieve closed-loop operation.

Advantages of Digital Planet

 Efficient processing: The username is extracted in batches in million-level mobile phone numbers, and it can be completed in just a few minutes.

 Accurate identification: Not only extract the user name, it can also detect invalid and blocked numbers at the same time.

 Multi-dimensional labels: Automatically generate activity, region, gender and other tags to provide more dimensions for subsequent operations.

 Results docking: Export with one click, directly import into the existing system, avoiding secondary processing.

Practical cases

A Southeast Asian cross-border retail team collected it in a promotion 120,000 mobile phone numbers:

lBefore processing: Only numbers, it is impossible to confirm which are real active users.

lProcess: Extract usernames in batches through digital planets and detect them22,000 invalid numbers and 15,000 duplicate numbers.

lAfter processing:get 83,000 real and valid mobile phone numbers + username resources, import directlyCRM system.

lResults: The subsequent push reach rate increases35%, the conversion rate increased by 20%.

Best Practice Recommendations

1.Regular batch processing: It is recommended to extract batches once a week or monthly to keep the resource library clean.

2.Unified cross-channel import: Mobile phone numbers from different channels are imported and extracted to avoid cross-channel duplication.

3.Combined with label filtering: While extracting usernames, use the label function of the digital planet to improve the accuracy of subsequent grouping.

4.Precipitation database: Precipitate the extracted results into long-term available databases to support continuous operation.

Conclusion

In cross-border operations,Batch extraction of mobile phone usernames is a key step from resources to results. It not only ensures that the number is real and effective, but also makes the user's portrait clearer and the operation is more accurate. With the help Digital Planet The team can complete efficient cleaning and extraction in a short time, allowing each resource to be converted into high-value users.

If you are facing the problem of matching your mobile phone number and username, you might as well try the batch extraction function of Digital Planet immediately and receive a free test to make your reach and conversion rate a qualitative leap.

 

 

Digital PlanetIt is a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions. It supports global customersBulk numbers from 236 countriesFiltering and testing services, currently supportedMore than 40 social and apps, such as:

whatsapp/line, twitter, facebook, Instagram, LinkedIn, Viber, zalo, Binance, signal, skype, DISCORD, Amazon, Microsoft, Truemoney, Snapchat, kakao, Wish, GoogleVoice, Botim, MoMo, TikTok, GCash, Fantuan, Airbnb, Cash, VKontakte, Band, Mint, Paytm, VNPay, Moj, DHL, Okx, MasterCard, ICICBank, Bybwait.

The platform has several features, includingOpen filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, accurate filtering, duration filtering, power-on filtering, empty number filtering, mobile device filteringwait.

Platform providesSelf-sieve mode, sieve mode, fine-sieve mode and custom mode, to meet the needs of different users.

Its advantage lies in the integration of major social and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.

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